Actor-agent application for train driver rescheduling
نویسندگان
چکیده
This paper describes the design, implementation, visualizations, results and lessons learned of a novel real-world socio-technical research system for the purpose of rescheduling train drivers in the event of disruptions. The research system is structured according to the Actor-Agent paradigm: here agents assist in rescheduling tasks of train drivers. Coordination between agents is based on a team formation process in which possible rescheduling alternatives can be evaluated, based on constraints and preferences of involved human train drivers and dispatchers. The research system is the result of cooperation on decentralised multi-agent crew rescheduling between Netherlands Railways (NS) and the D-CIS Lab. The implementation is realized using the Cougaar framework and includes actual timetable and rolling stock schedule data and driver duty data.
منابع مشابه
Real-time train driver rescheduling by actor-agent techniques
Passenger railway operations are based on an extensive planning process for generating the timetable, the rolling stock circulation, and the crew duties for train drivers and conductors. In particular, crew scheduling is a complex process. After the planning process has been completed, the plans are carried out in the real-time operations. Preferably, the plans are carried out as scheduled. How...
متن کاملKnowledge Management & Knowledge-based Systems, Knowledge Discovery and Data Mining, Logic and Logic Programming, Machine Learning, Evolutionary Algorithms & Neural Networks, Natural Language and Speech Processing, AI Applications.
This paper describes the design of a socio-technical research system for the purpose of rescheduling train drivers in the event of disruptions. The research system is structured according to the Actor-Agentparadigm: Here agents assist in rescheduling tasks of train drivers. Coordination between agents is basedon a team formation process in which possible rescheduling alternatives can be...
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This demonstration presents recent developments in the MAS@NS project: a collaboration between Netherlands Railways and the D-CIS Lab to explore the effectiveness and suitability of a decentralized multi-agent approach to crew rescheduling. The project (launched in 2007) was reported on earlier at BNAIC’08 [1] and other conferences ([2], [3]). These publications describe the problem domain and ...
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